
Data Intelligence Specialist
- Jakarta
- Permanen
- kerja tetap
- Data Management & Dashboard Creation: Gather and organize data from multiple sources to build dashboards for churn monitoring, sales performance tracking, and market analysis.
- Insights: Analyze sales trends, market dynamics, and performance metrics to deliver actionable insights that inform Go-To-Market strategies and sales programs.
- Collaboration: Work with Business Growth Analysts, Sales Leads, and Key Account Managers to provide data-driven solutions and address on-ground challenges.
- Monitor and Reporting: Monitor sales performance, campaign outcomes, and operational metrics, delivering regular reports to stakeholders for alignment and improvement.
- Education & Experience: Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, CS) with 3+ years of experience in data analysis or business intelligence. Experience in tech or sales operations is an added value.
- Technical Skills: Proficiency in SQL and BI tools (Tableau, Power BI) for building dashboards. Experience with Python or R is advantageous.
- Analytical Skills: Ability to obtain actionable insights, and opportunities from complex datasets.
- Collaboration & Communication: Ability to work with cross-functional stakeholders (e.g., Sales, Business Growth) and present strategic recommendations.
- Attention to Detail: Meticulous approach to ensure high levels of accuracy in all reports and analyses.
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex, create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
- Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours